爱液A片

Associate Professor of Data Science

Year Joined RCNJ: 2020

Contact Information

• Phone: (201) 684-7332
• Email: otwenebo@ramapo.edu
• Office: ASB411
• Office Hours: In-person or Virtual. Thur. 11am-1pm; Fri. 10am-11am or by Appointment

Education:
B.S., Kwame Nkrumah University of Science and Technology,
Kumasi, Ghana
M.S., University of Texas at El Paso
Ph.D., University of Texas at El Paso

Courses Offered:
Applied Statistics
Data Analytics in Python
Data Analysis and Visualization
Data Science Fieldwork I
Data Science Thesis
Introduction to Data Science
Statistics
Machine Learning

Research Interests:
Data Science
Machine Learning
Stochastic Analysis
Financial Mathematics
Differential Equations

Recent Publications:

1. M.C. Mariani, P.K. Asante, W. Kubin, and O.K. Tweneboah, “Data Analysis Using a Coupled System of Ornstein鈥揢hlenbeck Equations Driven by L茅vy Processes,鈥� Axioms, 11(4):160, 2022.
2. M.C. Mariani, P.K. Asante, O.K. Tweneboah, and W. Kubin, “A 3-component superposed Ornstein-Uhlenbeck model applied to financial stock markets,鈥� Research in Mathematics, 9(1), 2022.
3. M.C. Mariani, O.K. Tweneboah and M.P. Beccar-Varela, Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets, John Wiley & Sons, September 2021.
4. M.C. Mariani, W. Kubin, P.K. Asante, J.A. Guthrie, and O.K. Tweneboah, 鈥淩elationship between Continuum of Hurst Exponents of Noise-like Time Series and the Cantor set,鈥� Entropy, 23(11): 1505, 2021.
5. M.C. Mariani and O.K. Tweneboah, “Modeling high-frequency stock market data by using stochastic models,” Stochastic Analysis and Applications, https://doi.org/10.1080/07362994.2021.1942046:1-16, 2021.
6. M.C. Mariani, F. Biney, and O.K. Tweneboah, Analyzing medical data by using statistical learning models,” Mathematics, 9(9):968, 2021.
7. M.C. Mariani, M.A.M. Bhuiyan, O.K. Tweneboah, and H. Gonzalez-Huizar, “Long memory effects and forecasting of earthquake and volcano seismic date,” Physica A: Statistical Mechanics and its Applications, Volume 559, 125049, 2020.
8. M.C. Mariani, W. Kubin, P.K. Asante, O.K. Tweneboah, M.P. Beccar-Varela, S. Jaroszewicz, and H. Gonzalez-Huizar, 鈥淪elf-Similar Models: Relationship between the Diffusion Entropy Analysis, Detrended Fluctuation Analysis, and L茅vy Models,鈥� Mathematics, 8(7):1046, 2020.
9. C. Mariani, P.K. Asante, M.A.M Bhuiyan, M.P. Beccar-Varela, S. Jaroszewicz, and O.K. Tweneboah, 鈥淟ong-range correlations and characterization of financial and volcanic time series,鈥� Mathematics, 8(3):441, 2020.
10. M.C. Mariani, M.A.M Bhuiyan, O.K. Tweneboah, M.P. Beccar-Varela, and I. Florescu, 鈥淎nalysis of stock market data by using Dynamic Fourier and Wavelets techniques,鈥� Physica A: Statistical Mechanics and its Applications, Volume 537, 122785, 2020.
11. M.C. Mariani, M.A.M Bhuiyan and O.K. Tweneboah, 鈥淪upervised machine learning models applied to disease diagnosis and prognosis,鈥� AIMS public health vol. 6,4 405-423, 2019.
12. M.P. Beccar-Varela, H. Gonzalez-Huizar, M.C. Mariani and O.K. Tweneboah, 鈥淟茅vy Flights and Wavelets Analysis of Volcano-Seismic Data,鈥� Pure and Applied Geophysics, 177(2), 723-736, 2020.
13. M.C. Mariani, M.A.M Bhuiyan and O.K. Tweneboah, 鈥淪tatistical Data Mining Algorithms for the Prognosis of Diabetes and Autism,鈥� Proceedings of 2019 Hawaii Stem/Steam Conference, Hawaii, ISSN 2333-4908, 2019.
14. M.P. Beccar-Varela, M.C. Mariani, M.A.M Bhuiyan and O.K. Tweneboah, 鈥淎nalytic Methods for Solving Higher Order Ordinary Differential Equations,鈥� Mathematics, 7 (9), 826, 2019.
15. M.C. Mariani, O.K. Tweneboah, M.A. Valles and P. Bezdek, 鈥淐omplex Gleason Measures and the Nemytsky Operator,鈥� Annales Mathematicae Silesianae, 33 (1), 168-209, 2019.
16. M.C. Mariani, M.A.M Bhuiyan, O.K. Tweneboah, and H. Gonzalez-Huizar,鈥淰olatility models applied to geophysics and high-frequency financial market data,鈥� Physica A: Statistical Mechanics and its Applications, Volume 491, Issue 1, pp 167-176, 2018.M.
17. M.C. Mariani, M.A.M Bhuiyan, O.K. Tweneboah, and H. Gonzalez-Huizar鈥淓stimation of stochastic volatility by using Ornstein Uhlenbeck type models,鈥� Physica A: Statistical Mechanics and its Applications, Volume 491, 167-176, 2018.
18. M.C. Mariani, H. Gonzalez-Huizar, M.A.M Bhuiyan, and O.K. Tweneboah, 鈥淯sing dynamic Fourier analysis to discriminate between seismic signals from natural earthquakes and mining explosions,鈥� AIMS Geosciences, Volume 3, 438-449, 2017.
19. M.P. Beccar-Varela, M.C. Mariani and O.K. Tweneboah, 鈥淎nalysis of the Lehman Brothers collapse and the Flash Crash event by applying wavelets methodologies,鈥� Physica A: Statistical Mechanics and its Applications, Volume 474, pp 162-171, 2017.
20. M.C. Mariani, M.A.M Bhuiyan, O.K. Tweneboah, and H. Gonzalez-Huizar, 鈥淔orecasting the Volatility of Geophysical Time Series with Stochastic Volatility Models,鈥� World Academy of Science, Engineering and Technology, Volume 11(10),393-399 2017.
21. M.P. Beccar-Varela, H. Gonzalez-Huizar, M.C. Mariani, L.F. Serpa, and O.K. Tweneboah, 鈥淟evy Flight and Long-range Correlation Analysis of Earthquake magnitudes in Chile,鈥� Pure and Applied Geophysics, Volume 173, Issue 7, pp 2257-2266, 2016.
22. C. Mariani, O.K. Tweneboah, H. Gonzalez-Huizar and L. Serpa 鈥淪tochastic differential equation of earthquakes series,鈥� Physica A: Statistical Mechanics and its Applications, Volume 173, pp 2357-2364, 2016.
23. M.P. Beccar-Varela, H. Gonzalez-Huizar, M.C. Mariani and O.K. Tweneboah, 鈥淯se of wavelets techniques to discriminate between explosions and natural earthquakes,鈥� Physica A: Statistical Mechanics and its Applications, Volume 457, pp 42-51, 2016.
24. M.C. Mariani and O.K. Tweneboah, 鈥淪tochastic differential equations applied to the study of geophysical and financial time series,鈥� Physica A: Statistical Mechanics and its Applications, Volume 443, pp 170-178, 2016.